标题:How to improve the performance of carbon tax in China?
作者:Zhang, Zhe; Zhang, Aizhen; Wang, Daoping; Li, Aijun; Song, Huixuan
作者机构:[Zhang, Zhe; Wang, Daoping; Li, Aijun] Shandong Univ, Shandong Sch Dev, Ctr Econ Res, Jinan 250100, Peoples R China.; [Zhang, Aizhen] Univ Jinan, Sc 更多
通讯作者:Li, Aijun
通讯作者地址:[Li, AJ]Shandong Univ, Shandong Sch Dev, Ctr Econ Res, Jinan 250100, Peoples R China.
来源:JOURNAL OF CLEANER PRODUCTION
出版年:2017
卷:142
页码:2060-2072
DOI:10.1016/j.jclepro.2016.11.078
关键词:Renewable energy subsidy; CGE model; Rebound effect; Competitiveness; issues; Carbon leakage; Carbon dioxide emission abatement costs
摘要:The Chinese government committed to controlling carbon dioxide (CO2) emissions and promoting development of non-fossil fuels. Thus, it becomes a top priority for the government to develop effective climate policies. Against such background, this paper develops a new multi-country computable general equilibrium (CGE) model with detailed energy disaggregation. This study evaluates the impact of single policy instrument (carbon tax) and combined policy mixes, in order to investigate driving factors affecting the policy performance. The main findings are as follows. Firstly, the driving factors can be classified into two types. The first type of factors affects cost-effectiveness significantly, while the second type generates considerable effect on emission performance. Secondly, cross-border externalities function as important barriers to the CO2 emission reduction, since they imply extra competitiveness loss and result in considerable carbon leakage. Finally, this paper considers two integrated policy mixes, wherein carbon tax revenue is recycled to reduce capital tax or support clean energy subsidy. These policy mixes can improve both cost-effectiveness and emission performance, and thus perform better than carbon tax alone. In this way, carbon tax revenue can be used to improve the performance. Looking ahead, complicated policy mixes are preferred to improve the performance of China's carbon tax. (C) 2016 Elsevier Ltd. All rights reserved.
收录类别:EI;SCOPUS;SCIE;SSCI
WOS核心被引频次:12
Scopus被引频次:13
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006802913&doi=10.1016%2fj.jclepro.2016.11.078&partnerID=40&md5=5bf3d4aaabf47f389853a7300ca77852
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